Wszystkie pola: machine surface - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Development on technique regarding change of resonance frequency on machine tool for optimization of cutting condition
Autorzy:: Da Cruz, J. R.
Tanabe, I.
Inoue, Y.
Powiązania:: https://bibliotekanauki.pl/articles/100164.pdf
Data publikacji:: 2014
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: cutting condition
water
PEO
resonance
damping ratio
surface roughness
Opis:: Establishment and selection of proper cutting condition can improve tool life and final cutting result. Cutting speed, feed speed, depth of cut and selection of tools are conditions of cutting that determined the cutting accuracy. However, when the optimum cutting condition with selected cutting speed coincides with machine resonance frequency, large vibration will occur. Consequently, even small periodic of driving forces can produce large amplitude vibrations. The simple technique to lower resonant frequency of machine tool was developed in previous research by using mixture of water and polymer with 6wt% concentration. As it was difficult to obtain damping ratio when the concentration is larger than 6wt%, therefore, the aim of this paper is to change machine resonant frequency for optimizing cutting condition by improving mixture concentration of water and polymer. It is concluded from the results that (1) By controlling machine tool resonance frequency enable cutting speed to be used for processing at its optimum cutting condition (2) New damping value of polymer mixed with water was presented, (3) Machine vibration reduced as resonance of machine was successfully avoided and surface roughness was also improved.
Źródło:: Journal of Machine Engineering; 2014, 14, 3; 35-47
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: Parametric model analysis, geometrical characteristics and tool trajectories to surface roughness when machining the cycloid screw by a five-axis milling machine
Autorzy:: Pham, Van Bong
Thien, Nguyen Van
Nguyen, Van Que
Duy, Trinh Nguyen
Nguyen, Duy Khanh
Tien, Dung Hoang
Powiązania:: https://bibliotekanauki.pl/articles/2086278.pdf
Data publikacji:: 2022
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: cycloid screw surface
five axis milling machine
ball nose end mill
surface roughness
Opis:: To improve the screw machining accuracy in modern air compressors. This paper investigates three main issues during the development process for cycloid screw machining methods on five-axis CNC machine tools with high precision and efficiency. First, the theoretical basis of cycloid screw surface shaping and derivative of the final profile equation is established. Then, modeling the center trajectory and feed rate according to the cycloid screw profile is given. Next is the experimental setup and simulation of the cycloid screw machining process and discussions. The obtained surface quality prediction parameters are close to the actual measured value, which can be used as a reference model for five-axis CNC milling technology processes. All experimental results obtained by the proposed mathematical model show that a surface with good surface quality is created, meeting the requirements for surface quality. The main work can be used as references for engineers and technicians in practice.
Źródło:: Journal of Machine Engineering; 2022, 22, 2; 108--124
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 3.

Tytuł:: Multi-objective optimization of the rotary turning of hardened mold steel for energy saving and surface roughness improvements
Autorzy:: Doan, Tat Khoa
Nguyen, Trung Thanh
Van, An-Le
Powiązania:: https://bibliotekanauki.pl/articles/28407330.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: rotary turning
specific cutting energy
surface roughness
VCPSO
Opis:: In this investigation, the specific cutting energy (SCE) and average surface roughness (Ra) were decreased using the hard-rotary turning (HRT) factors, including the inclined angle (I), depth of cut (D), feed rate (f), and spindle speed (S). The Bayesian regularized feed-forward neural network was applied to develop the SCE and Ra models. The entropy method and vibration and communication particle swarm optimization (VCPSO) algorithm were employed to compute the weights and determine optimal factors. The optimizing outcomes presented that the optimal I, D, f, and S were 35 deg., 0.45 mm, 0.50 mm/rev., and 1200 rpm, respectively, while the SCE and Ra were decreased by 37.4% and 6.6%, respectively. The total turning cost was saved by 7.5% at the selected solution. The valuable outcomes could be applied to the practical HRT process to decrease performance measures, while the developed HRT operation could be utilized for machining difficult-to-cut materials.
Źródło:: Journal of Machine Engineering; 2023, 23, 4; 101--121
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 4.

Tytuł:: Surface roughness investigation through interplay of cutting speed and thermal-assisted machining in high-speed machining of SKD11 steel
Autorzy:: Bui, Long-Vinh
Mac, Thi-Bich
Nguyen, Duc-Toan
Powiązania:: https://bibliotekanauki.pl/articles/28407323.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: surface roughness
high-speed milling
thermal-assisted machining
SKD11 steel
Opis:: This study aims to investigate the interplay between cutting speed and Thermal-Assisted Machining (TAM) concerning surface roughness during the high-speed machining of SKD11 steel. The integration of pre-cutting workpiece heating introduces a temperature factor that intricately affects surface roughness. The primary objective is to ascertain optimal speed and temperature ranges that synergistically enhance machining efficiency, curtail costs, and elevate surface quality. The experimental protocol initiates with room temperature milling of SKD11 steel, progressively elevating the temperature gradient to systematically appraise temperature's impact on surface roughness under both conventional and elevated cutting speeds. Subsequent experimentation, conducted within specific temperature thresholds, entails stepwise augmentation of cutting speed to elucidate the influence of high-speed conditions on surface roughness. The ensuing analysis meticulously examines the ramifications of distinct cutting speed intervals on surface roughness. Ultimately, the study furnishes pragmatic recommendations for judiciously selecting cutting speeds and heating temperature parameters across diverse machining scenarios.
Źródło:: Journal of Machine Engineering; 2023, 23, 4; 33--42
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 5.

Tytuł:: A hybridization of machine learning and NSGA-II for multi-objective optimization of surface roughness and cutting force in AISI 4340 alloy steel turning
Autorzy:: Nguyen, Anh-Tu
Nguyen, Van-Hai
Le, Tien-Thinh
Nguyen, Nhu-Tung
Powiązania:: https://bibliotekanauki.pl/articles/2200263.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: multi-objective optimisation
machine learning
AISI 4340
NSGA-II
ANN
Opis:: This work focuses on optimizing process parameters in turning AISI 4340 alloy steel. A hybridization of Machine Learning (ML) algorithms and a Non-Dominated Sorting Genetic Algorithm (NSGA-II) is applied to find the Pareto solution. The objective functions are a simultaneous minimum of average surface roughness (Ra) and cutting force under the cutting parameter constraints of cutting speed, feed rate, depth of cut, and tool nose radius in a range of 50–375 m/min, 0.02–0.25 mm/rev, 0.1–1.5 mm, and 0.4–0.8 mm, respectively. The present study uses five ML models – namely SVR, CAT, RFR, GBR, and ANN – to predict Ra and cutting force. Results indicate that ANN offers the best predictive performance in respect of all accuracy metrics: root-mean-squared-error (RMSE), mean-absolute-error (MAE), and coefficient of determination (R2). In addition, a hybridization of NSGA-II and ANN is implemented to find the optimal solutions for machining parameters, which lie on the Pareto front. The results of this multi-objective optimization indicate that Ra lies in a range between 1.032 and 1.048 μm, and cutting force was found to range between 7.981 and 8.277 kgf for the five selected Pareto solutions. In the set of non-dominated keys, none of the individual solutions is superior to any of the others, so it is the manufacturer's decision which dataset to select. Results summarize the value range in the Pareto solutions generated by NSGA-II: cutting speeds between 72.92 and 75.11 m/min, a feed rate of 0.02 mm/rev, a depth of cut between 0.62 and 0.79 mm, and a tool nose radius of 0.4 mm, are recommended. Following that, experimental validations were finally conducted to verify the optimization procedure.
Źródło:: Journal of Machine Engineering; 2023, 23, 1; 133--153
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 6.

Tytuł:: A new environmentally friendly chemical mechanical polishing method applied for surface finishing Ti-6Al-4V alloy
Autorzy:: Quang, Nguyen Minh
Quan, Nguyen Ngoc
Mai, Nguyen Trong
Thanh, Le Thi Phuong
Tung, Nguyen Tien
Tan, Tran Ngoc
Hai, Ha Thanh
Trinh, Nguyen Duy
Powiązania:: https://bibliotekanauki.pl/articles/28407325.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: chemical-mechanical polishing
hydrogen peroxide
TI-6AL-4V
silica
malic acid
Opis:: A new eco-friendly slurry has been developed for the chemical mechanical polishing process with a solution of malic acid, deionized water, and an oxidizing agent hydrogen peroxide (H2O2). The surface quality of Ti-6Al-4V workpieces with the proposed chemical mechanical polishing slurry with optimal parameters include oxidizers (H2O2), colloidal (SiO2) slurry, and deionized water by weight 8%, 45%, and 47% respectively, the pH concentration is adjusted 4 through the malic acid content present in the slurry. Experimental results obtained with the proposed chemical mechanical polishing method show a more improved surface quality than previous studies when applying for polishing Ti-6Al-4V alloy. The developed chemical mechanical polishing method's polishing results under optimal conditions obtain an ultra-fine surface quality with Ra = 0.696 nm over a measuring area of 53×70 μm2. X-ray photoelectron (XPS) and electrochemical measurements were used to study the chemical reaction mechanisms in the proposed chemical mechanical polishing process. The chemical mechanical polishing processes for the surface of the Ti-6Al-4V alloy workpiece with the H2O2 oxidizing agent showed high suitability with the reactants formed on the surface such as Ti, V, and Al oxide. With the proposed oxidant and the established chemical mechanical polishing slurry, the feasibility and surface quality of the super smooth Ti-6Al-4V workpiece formed after polishing were demonstrated. The established chemical mechanical polishing method shows high applicability in environmental protection and Ti-6Al-4V alloy ultra-precision machining industries.
Źródło:: Journal of Machine Engineering; 2023, 23, 4; 64--76
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "machine surface" wg kryterium: Wszystkie pola

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język